engineering / skill

Langfuse Skills

Agent skills that teach a coding assistant to work with Langfuse tracing, prompt management and evaluation, and to migrate from other LLM platforms.

At a glance

Purpose
Agent skills that teach a coding assistant to work with Langfuse tracing, prompt management and evaluation, and to migrate from other LLM platforms.
Runs in
Local agent with shell
Operating systems
Not stated
Needs
Runtime: Not stated; Needs internet: Yes; Needs accounts or API keys beyond your agent: Yes
Files and data
Reads files: Not stated; Writes files: Not stated; Sends data to other services: Yes
Tool type
Skill
Delivery
From GitHub
Version
Latest on the main branch
Access
Code on GitHub
Compatibility
According to the README, the skills are for AI coding assistants such as Claude Code and Cursor. It gives a Cursor plugin install, a skills CLI install and a manual symlink. The top-level entries include .claude-plugin, .codex-plugin and .cursor-plugin folders.
External costs
The repository is MIT-licensed and the README states no pricing. The skills need a Langfuse account and API keys, and the README does not say what a Langfuse account costs. Your coding agent or model provider may charge for usage.
Permissions
The skills act through your coding agent with the access you give it. The README shows a Cursor plugin installation, an npx skills add installation, and a manual route that clones the repository and creates a symlink in your agent's skills directory. The README says langfuse queries and manages traces, prompts, datasets and scores through the Langfuse API. The README says migrate-to-langfuse handles a live tracing cutover and transfers historical traces, datasets, prompts and evaluators. The README shows your Langfuse API keys set as environment variables.
Usage terms
MIT License, as stated in the repository. See its LICENSE file for the exact terms.

Code on GitHub

langfuse/skills

MIT

Python302 stars39 forksLast pushed 1 Oct 2026 UTC

Agent Skills for Langfuse, the open source LLM engineering platform for tracing, prompt management, and evaluation

Topics: evaluation langfuse skill skills tracing

Public GitHub data fetched · 0 days old

Skill folders in this repository (3)

Folders that contain a SKILL.md file, from GitHub's file list on .

View on GitHub ↗

What it does

Langfuse Skills is a set of Agent Skills for working with Langfuse, which the README describes as an open-source LLM engineering platform for tracing, prompt management and evaluation. The README names Claude Code and Cursor as example coding assistants.

The README describes langfuse as the main skill for querying and managing traces, prompts, datasets and scores through the Langfuse API and looking up documentation. The README describes migrate-to-langfuse as a skill for migration from platforms such as LangSmith, Arize and Braintrust. The README says that migration skill interviews you about scope, then handles the live tracing cutover and transfer of historical traces, datasets, prompts and evaluators.

The README says an agent automatically uses these skills when relevant. Its examples include setting up tracing, setting up CI/CD experiment gates with langfuse/experiment-action, auditing instrumentation, preparing for the v4 platform migration and moving prompts to prompt management.

Who it is for

Developers who use Langfuse and want a coding assistant such as Claude Code or Cursor to help set it up, query it or migrate to it.

Example tasks

Set up Langfuse tracing in a project.
Set up CI/CD experiment gates with langfuse/experiment-action.
The README lists auditing existing instrumentation as a usage example.
Query traces, prompts or datasets through the Langfuse API.
Migrate from another LLM observability or evals platform to Langfuse.

Getting started

The README gives three routes. For Cursor, install it as a plugin with /add-plugin langfuse. With the skills CLI, run npx skills add langfuse/skills --skill "langfuse". Or clone the repository and symlink the skill folder into your agent's skills directory. Then set LANGFUSE_PUBLIC_KEY, LANGFUSE_SECRET_KEY and LANGFUSE_BASE_URL as the README shows. The README has the exact commands.

Limitations

The README says you need a Langfuse account, cloud or self-hosted, and API keys. It shows them set as the environment variables LANGFUSE_PUBLIC_KEY, LANGFUSE_SECRET_KEY and LANGFUSE_BASE_URL, and says the keys are under Settings > API Keys in your Langfuse project. The README's skills CLI example names only the langfuse skill. It names Claude Code and Cursor as example assistants. The repository can change at any time; check its README before you install.

Data practices

The README says the langfuse skill queries and manages traces, prompts, datasets and scores through the Langfuse API. The README says the migration skill transfers historical traces, datasets, prompts and evaluators to Langfuse. The README shows API keys in environment variables and LANGFUSE_BASE_URL set to a cloud, US cloud or self-hosted address. The README does not describe telemetry or retention. What your coding agent and model provider receive depends on how you use the skills.

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